{"id":3118147,"url":"https://alion.io/job/i4dm-azure-data-integration-engineer","title":"Azure Data Integration Engineer","company":{"id":8388,"name":"I4Dm","domain":"i4dm.com","url":"https://alion.io/company/i4dm","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Comeet","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":114000,"max_usd":208000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":365},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"Apache Kafka","optional":false},{"name":"Azure","optional":false},{"name":"Azure Cosmos DB","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Azure DevOps","optional":false},{"name":"Azure SQL Database","optional":false},{"name":"Bicep","optional":false},{"name":"CI/CD","optional":false},{"name":"Collibra","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GDPR","optional":false},{"name":"GitHub Actions","optional":false},{"name":"HIPAA","optional":false},{"name":"ISO 27001","optional":false},{"name":"MS SQL","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Scrum","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"Looker","optional":true},{"name":"Machine Learning","optional":true},{"name":"Tableau","optional":true}],"status":"live","first_seen_at":"2026-10-22T21:08:33Z","employer_posted_date":"2026-10-22","last_verified_at":"2026-10-23T17:56:55Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Description\nAbout the Role:\nWe are seeking an experienced Azure Data Integration Engineer to support ATLAS, the VA’s open-architected, multi-cloud enterprise data management and analytics platform. In this role, you will design, develop, and maintain scalable Azure-based pipelines and ETL/ELT solutions that ingest, condition, curate, and transform multi-source data into standardized, consumable enterprise data products. You will use Azure Data Factory, Synapse, Databricks, Azure Data Lake, and related services to improve interoperability among key data platforms and provide consistent, secure access to trusted data regardless of its source or stage of curation. Working with analysts, data scientists, product teams, and enterprise users, you will help deliver actionable insights that enable evidence-based decisions and improve outcomes for Veterans and their families.\nThis hands-on role combines data integration engineering, cloud data architecture, governance, performance optimization, and analytics enablement across the ATLAS ecosystem.\nKey Responsibilities:\nAs part of an Agile team, our Azure Data Engineer will:\nDesign and implement scalable, secure, and efficient data pipelines using Azure Data Factory (ADF).\nDevelop and optimize ETL processes to ingest, transform, and store data in Azure Data Lake, SQL, and Synapse Analytics.\nAutomate data ingestion from structured and unstructured sources like APIs, databases, and IoT streams.\nBuild and maintain data lakes, warehouses, and lakehouses using Azure Data Lake, Synapse, and Databricks.\nOptimize storage and retrieval of data using Parquet, Delta Lake, and columnar storage formats.\nEnsure high availability, scalability, and performance tuning for large-scale datasets.\nImplement batch and real-time data streaming solutions using Azure Stream Analytics, Event Hub, and Kafka.\nWork with big data processing frameworks such as Apache Spark (Databricks) and HDInsight.\nIntegrate data from various sources like SQL Server, CosmosDB, SAP, and third-party APIs.\nImplement data security best practices, including RBAC, Azure AD, Managed Identities, and Key Vault.\nWork with Purview, Data Catalog, and metadata management tools to enforce data governance.\nMonitor and troubleshoot data pipeline performance using Azure Monitor, Log Analytics, and Application Insights.\nOptimize query performance in Synapse Analytics, SQL, and CosmosDB.\nAutomate data quality checks, anomaly detection, and alerting mechanisms.\nWork closely with BI Developers and Cloud Engineers to support analytics and AI/ML use cases.\nParticipate in Agile/Scrum ceremonies, design reviews, and technical discussions.\nDocument data flows, best practices, and architecture decisions.\nDesign, develop, and optimize Power BI dashboards and reports for business intelligence and analytics.\nCreate interactive visualizations using advanced DAX, Power Query (M), and custom visuals.\nDevelop paginated reports using Power BI Report Builder\nEnsure compliance with cloud security best practices and industry standards (ISO 27001, GDPR, HIPAA).\nAutomate deployments with Azure DevOps, GitHub Actions, and CI/CD pipelines.\nWork closely with Cloud Engineers and DevOps teams to optimize deployment strategies.\nCollaborate with software engineers, architects, and DevOps teams to build robust applications.\nParticipate in code reviews, sprint planning, and Agile/Scrum ceremonies.\nDocument technical solutions and best practices.\nTAG: #LI-I4DM\nTAG: INDMJC\nRequirements\nMinimum Qualifications:\nBachelor’s degree in computer science or a related technical field.\nMinimum of five (5) years of practical experience in cloud application development with Microsoft Azure.\nExpertise in Azure Data Factory (ADF), Synapse Analytics, Data Lake, Databricks, DAX, Power Query (M), and data modeling.\nStrong SQL skills with experience in T-SQL, query optimization, and database performance tuning.\nExperience in big data processing using Apache Spark, Python, or Scala.\nExperience integrating Power BI with Azure SQL, Data Lake, and Synapse Analytics.\nUnderstanding of ETL processes, data warehousing, and BI best practices.\nStrong knowledge of Row-Level Security (RLS) and Power BI service administration.\nHands-on experience with real-time data streaming (Kafka, Event Hub, Stream Analytics).\nFamiliarity with DevOps for data pipelines, CI/CD, and Infrastructure as Code (Terraform, Bicep).\nKnowledge of Azure AD authentication, security best practices, and cloud monitoring.\nAbility to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements\nKnowledge of Agile, Scrum, and SAFe methodologies.\nCareful, reliable, and detail-oriented when performing high impact administration tasks\nExperience with Synapse Pipelines, Starburst, Azure Data Lake Service, Collibra for data cataloging, Azure ML/AI services, and Pyramid Analytics for visualization.\nPreferred Qualifications:\nMicrosoft Certified: Azure Data Engineer Associate (DP-203)\nMicrosoft Certified: Power BI Data Analyst Associate (PL-300)\nExperience with CosmosDB, Delta Lake, and NoSQL solutions.\nKnowledge of Machine Learning and AI integration with data pipelines.\nFamiliarity with Power BI, Looker, or Tableau for data visualization.\nKnowledge of Azure architecture such as Azure services and portal, Azure Government Cloud, SQL Administrator, SQL reporting, APIs, authorization methods for applications and APIs, migrating SQL schemas and data between environments\nExperience in embedded analytics and Power BI API integration.\nBenefits\nComprehensive healthcare coverage, HSA Plan, Life and Disability Insurance, and Retirement Savings Plan.","description_format":"text","description_chars":5660,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Retirement plans"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation","Custom Software Development"],"lifecycle":[{"event":"open","at":"2026-10-22T23:12:05Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring 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